diff --git a/pandas_gbq/gbq.py b/pandas_gbq/gbq.py
index 003a5844..feffd858 100644
--- a/pandas_gbq/gbq.py
+++ b/pandas_gbq/gbq.py
@@ -1097,9 +1097,7 @@ def to_gbq(
     # fail early if there are bigframes-y methods available.
     # https://github.com/googleapis/python-bigquery-pandas/issues/824
     if hasattr(dataframe, "to_pandas") and hasattr(dataframe, "to_gbq"):
-        raise TypeError(
-            f"Expected a pandas.DataFrame, but got {repr(type(dataframe))}"
-        )
+        raise TypeError(f"Expected a pandas.DataFrame, but got {repr(type(dataframe))}")
 
     _test_google_api_imports()
 
diff --git a/tests/unit/test_to_gbq.py b/tests/unit/test_to_gbq.py
index f8a04db4..f4012dc8 100644
--- a/tests/unit/test_to_gbq.py
+++ b/tests/unit/test_to_gbq.py
@@ -16,7 +16,7 @@ class FakeDataFrame:
 
     def to_gbq(self):
         """Fake to_gbq() to mimic a bigframes object."""
-    
+
     def to_pandas(self):
         """Fake to_pandas() to mimic a bigframes object."""
 
@@ -80,8 +80,7 @@ def test_to_gbq_with_bigframes_raises_typeerror():
     dataframe = FakeDataFrame()
 
     with pytest.raises(
-        TypeError,
-        match=r"Expected a pandas.DataFrame, but got .+FakeDataFrame"
+        TypeError, match=r"Expected a pandas.DataFrame, but got .+FakeDataFrame"
     ):
         gbq.to_gbq(dataframe, "my_dataset.my_table", project_id="myproj")